package com.tanhua.server.service;

import cn.hutool.core.collection.CollUtil;
import cn.hutool.core.convert.Convert;
import cn.hutool.core.util.RandomUtil;
import com.alibaba.fastjson.JSON;
import com.tanhua.autoconfig.template.HuanXinTemplate;
import com.tanhua.commons.exception.BusinessException;
import com.tanhua.commons.utils.Constants;
import com.tanhua.dubbo.api.QuestionApi;
import com.tanhua.dubbo.api.RecommendUserApi;
import com.tanhua.dubbo.api.UserInfoApi;
import com.tanhua.dubbo.api.UserLikeApi;
import com.tanhua.model.domain.Question;
import com.tanhua.model.domain.UserInfo;
import com.tanhua.model.dto.RecommendUserDto;
import com.tanhua.model.mongo.RecommendUser;
import com.tanhua.model.vo.ErrorResult;
import com.tanhua.model.vo.PageResult;
import com.tanhua.model.vo.TodayBest;
import com.tanhua.server.interceptor.UserHolder;
import lombok.extern.slf4j.Slf4j;
import org.apache.dubbo.config.annotation.DubboReference;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.stereotype.Service;

import java.util.ArrayList;
import java.util.HashMap;
import java.util.List;
import java.util.Map;

@Slf4j
@Service
public class TanhuaService {

    @DubboReference
    private RecommendUserApi recommendUserApi;
    @DubboReference
    private QuestionApi questionApi;
    @DubboReference
    private UserInfoApi userInfoApi;
    @DubboReference
    private UserLikeApi userLikeApi;
    @Autowired
    private HuanXinTemplate huanXinTemplate;
    @Autowired
    private RedisTemplate redisTemplate;
    @Autowired
    private MessagesService messagesService;
    @Value("${tanhua.default.recommend.users}")
    private String recommendUser;

    //查询今日佳人数据
    public TodayBest todayBest() {
        //1、获取用户id
        Long userId = UserHolder.getUserId();
        //2、调用API查询
        RecommendUser recommendUser = recommendUserApi.queryWithMaxScore(userId);
        if (recommendUser == null){
            recommendUser = new RecommendUser();
            recommendUser.setUserId(1l);
            recommendUser.setScore(99d);
        }
        //3、将RecommendUser转化为TodayBest对象
        UserInfo userInfo = userInfoApi.findById(recommendUser.getUserId());
        TodayBest vo = TodayBest.init(userInfo,recommendUser);
        //4、返回
        return vo;
    }

    //查询分页推荐好友列表
    public PageResult recommendation(RecommendUserDto dto) {
        //1、获取用户id
        Long userId = UserHolder.getUserId();
        //2、调用recommendUserApi分页查询数据列表（PageResult -- RecommendUser）
        PageResult pr = recommendUserApi.queryRecommendUserList(dto.getPage(),dto.getPagesize(),userId);
        //3、获取分页中的RecommendUser数据列表
        List<RecommendUser> items = (List<RecommendUser>)pr.getItems();

        System.out.println("============="+items.toString());
        //4、判断列表是否为空
        if(items == null || items.size()<=0) {
            return pr;
        }
        //5、提取所有推荐的用户id列表
        List<Long> ids = CollUtil.getFieldValues(items,"userId",Long.class);
        log.info("tanhuaservice 的 ids = {}",ids);
        UserInfo userInfo = new UserInfo();
        userInfo.setAge(dto.getAge());
        userInfo.setGender(dto.getGender());
        //6、构建查询条件，批量查询所有的用户详情
        Map<Long, UserInfo> map = userInfoApi.findByIds(ids,userInfo);
        if (map == null){
            return pr;
        }
        //7、循环推荐的数据列表，构建vo对象
        ArrayList<TodayBest> list = new ArrayList<>();
        for (RecommendUser item : items) {
            UserInfo info = map.get(item.getUserId());
            if (info != null){
                TodayBest vo = TodayBest.init(info,item);
                list.add(vo);
            }
        }
        //8、构造返回值
        pr.setItems(list);
        return pr;
    }

    public TodayBest personalInfo(Long userId) {
        //1、根据用户id查询，用户详情
        UserInfo userInfo = userInfoApi.findById(userId);
        //2、根据操作人id和查看的用户id，查询两者的推荐数据
        RecommendUser user = recommendUserApi.queryByUserId(userId,UserHolder.getUserId());
        //3、构造返回值
        return TodayBest.init(userInfo,user);
    }

    public String strangerQuestions(Long userId) {
        Question question = questionApi.findByUserId(userId);
        return question == null ? "你喜欢java编程吗？" : question.getTxt();
    }

    public void replyQuestions(Long userId, String reply) {
        //1、构造消息数据
        Long currentUserId = UserHolder.getUserId();
        UserInfo userInfo = userInfoApi.findById(currentUserId);
        Map map = new HashMap();
        map.put("userId",currentUserId);
        map.put("huanXinId", Constants.HX_USER_PREFIX+currentUserId);
        map.put("nickname",userInfo.getNickname());
        map.put("strangerQuestion",strangerQuestions(userId));
        map.put("reply",reply);
        String message = JSON.toJSONString(map);
        log.info("message ======{}",message);
        //2、调用template对象，发送消息
        Boolean aBoolean = huanXinTemplate.sendMsg(Constants.HX_USER_PREFIX + userId, message);//1、接受方的环信id，2、消息
        if(!aBoolean) {
            throw  new BusinessException(ErrorResult.error());
        }
    }
    /**
     * 探花-推荐用户列表
     * @return 推荐用户列表
     */
    public List<TodayBest> queryCardsList() {
        //查询推荐数据列表
        List<RecommendUser> users = recommendUserApi.queryCardsList(UserHolder.getUserId(),10);
        //判断数据是否存在，如果不存在，构造默认数据 1,2,3
        if (CollUtil.isEmpty(users)){
            users = new ArrayList<>();
            String[] userIds = recommendUser.split(",");
            for (String userId : userIds) {
                RecommendUser recommendUser = new RecommendUser();
                recommendUser.setUserId(Convert.toLong(userId));
                recommendUser.setToUserId(UserHolder.getUserId());
                recommendUser.setScore(RandomUtil.randomDouble(60,90));
                users.add(recommendUser);
            }
        }
        //3、构造VO
        List<Long> ids = CollUtil.getFieldValues(users, "userId", Long.class);
        Map<Long, UserInfo> infoMap = userInfoApi.findByIds(ids, null);

        ArrayList<TodayBest> vos = new ArrayList<>();
        for (RecommendUser user : users) {
            UserInfo userInfo = infoMap.get(user.getUserId());
            if (userInfo != null) {
                TodayBest vo = TodayBest.init(userInfo, user);
                vos.add(vo);
            }
        }
        return vos;

    }

    /**
     * 探花喜欢
     * @param likeUserId 目标用户id
     */
    public void likeUser(Long likeUserId) {
        //调用api保存喜欢数据
        Boolean save = userLikeApi.saveOrUpdate(UserHolder.getUserId(),likeUserId,true);
        log.info("调用api保存喜欢用户{}数据{}",likeUserId,save?"成功":"失败");
        if (!save){
            //失效
            throw new BusinessException(ErrorResult.error());
        }
        //2、操作redis，写入喜欢的数据，删除不喜欢的数据 (喜欢的集合，不喜欢的集合)
        redisTemplate.opsForSet().add(Constants.USER_LIKE_KEY+UserHolder.getUserId(),likeUserId.toString());
        redisTemplate.opsForSet().remove(Constants.USER_NOT_LIKE_KEY+UserHolder.getUserId(),likeUserId.toString());
        //3、判断是否双向喜欢
        if (isLike(likeUserId,UserHolder.getUserId())){
            messagesService.contacts(likeUserId);
        }
    }

    /**
     * 判断是否双向喜欢
     * @param likeUserId 目标用户id
     * @param userId 自己的id
     * @return boolean
     */
    private boolean isLike(Long likeUserId, Long userId) {
        String key = Constants.USER_LIKE_KEY+userId;
        return redisTemplate.opsForSet().isMember(key,likeUserId.toString());
    }

    /**
     * 探花不喜欢
     * @param likeUserId 目标用户id
     */
    public void notLikeUser(Long likeUserId) {
        //1、调用API，保存不喜欢数据(保存到MongoDB中)
        Boolean save = userLikeApi.saveOrUpdate(UserHolder.getUserId(), likeUserId, false);
        if (!save){
            //失败
            throw new BusinessException(ErrorResult.error());
        }
        //2、操作redis，写入不喜欢的数据，删除喜欢的数据 (喜欢的集合，不喜欢的集合)
        redisTemplate.opsForSet().add(Constants.USER_NOT_LIKE_KEY+UserHolder.getUserId(),likeUserId.toString());
        redisTemplate.opsForSet().remove(Constants.USER_LIKE_KEY+UserHolder.getUserId(),likeUserId.toString());
        //3、判断是否双向喜欢，删除好友(各位自行实现)
        if (isLike(likeUserId,UserHolder.getUserId())){
            messagesService.deleteContact(likeUserId);
        }
    }

    /**
     * 取消喜欢
     * @param likeUserId
     */
    public void delectLikeUser(Long likeUserId) {
        Boolean aBoolean = userLikeApi.delectLike(likeUserId,UserHolder.getUserId());
        log.info("移除喜欢数据{}",aBoolean?"成功":"失败");
    }
}
